With the fast development of artificial intelligence and emerging technologies, automatic recognition of students' facial expressions has received increased attention. Facial expressions are a kind of external manifestation of emotional states. It is important for teachers to assess students' emotional states and adjust teaching activities…

This research uses a quantitative approach and aims to explain the effectiveness of online learning through the model of assisting parents during the COVID-19 pandemic. Therefore, this study used two variables, namely the parent assistance model as the independent variable and online learning activities as the dependent variable, with a total of…

Background: Alcohol-related sexual assault is a pressing health concern on U.S. college campuses. The unrelenting prevalence of campus sexual assault has led to a greater focus on how to empower college women to resist unwanted sexual advances within alcohol-infused contexts. Alcohol-aggression expectancies have emerged as one potential barrier to…

This study aims to predict accounting students' inclination toward a career in accounting in Indonesia by integrating the Social Cognitive Career Theory (SCCT) and the Theory of Reasoned Action (TRA). The research relies on primary data obtained through an online, closed-ended questionnaire. We employ Structural Equation Modeling (SEM) for the…

This study investigated the role of anger expression and control in the relationships between mindfulness and romantic relationship quality. 237 emerging adults (167 females and 70 males) who had been in a relationship for at least three weeks (range = 3 weeks - 84 months) completed a set of questionnaires that assessed mindfulness, anger…

Special education assessment has a significant impact on the lives of children with disabilities and their families. However, traditional assessment practices have been critiqued as being deficit-based, overly focused on "labeling" students, and failing to provide a holistic understanding of the student. Assessment models such as…

As the research base in support of dual language instruction become stronger and more widely recognized, dual language instruction program popularity has risen and the number of programs implemented across the United States has grown (Christian, 2018). Demand for qualified teachers and school administrators is high, but teacher supply has not…

Number sense is a key indicator of students' future academic success. Students from low socio-economic backgrounds often come to kindergarten lacking number sense skills that other students acquire before they begin formal schooling. Small-group intervention that is focused on number sense skills is an effective way to address this foundational…

This paper reports on the experimentation of a collaborative learning approach in university training for a Master's degree in "Pedagogical and Multimedia Engineering". It is carried out with learner-teachers training in Instructional Design. The approach adopted focuses on the complexity of the collaborative situation, and is based on…

Based on expectancy-value theory, this study adopted a person-centred approach to explore the heterogeneous profiles of secondary German and Taiwanese students' mathematical modelling task values, and examined the differences in their mathematical modelling performance, controlling for the variable of intra-mathematical knowledge among the…

This report characterizes forms of dialogic support that a sixth-grade teacher generated during whole-class and small-group conversations to help students develop a practice of statistical modeling. During four weeks of instruction, students constructed and revised models to account for variability and uncertainty across a variety of random…

Past laboratory work has shown that exposure to similar peers who represent success in STEM (i.e., math-talented female peer role models) can bolster female college students' math performance and STEM experiences. What is less clear is how students at intersecting identities of gender, ethnicity, and math identification differ in their similarity…

ChatGPT and other LLMs are at the forefront of pedagogical considerations in classrooms across the academy. Many studies have spoken to the technology's capacity to generate one-off texts in a variety of genres. This study complements those by inquiring into its capacity to generate compelling texts at scale. In this study, we quantitatively and…

Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…

A full structural equation model (SEM) typically consists of both a measurement model (describing relationships between latent variables and observed scale items) and a structural model (describing relationships among latent variables). However, often researchers are primarily interested in testing hypotheses related to the structural model while…